Team enablement through DevOps and Templates

Overview

When I joined 4most, the business was still heavily SAS-based, while the wider banking and financial services industry was beginning a significant shift towards Python. As one of the company’s early Python power users, I helped accelerate that transition internally while supporting client-facing data science delivery.

My internal focus was reducing the time it took consultants to become productive on Python-based projects. I supported this through Git and version control training, reusable Python notebook templates, and practical upskilling initiatives for consultants between client engagements.

The templates covered common data science tasks consultants were likely to encounter on client site, combining explanatory markdown with reusable code examples. Over time, this became an ongoing capability-building programme, with consultants contributing additional templates while practising agile workflows. My role was to review pull requests, maintain quality and embed better engineering practices across the team.

Alongside this, I was deployed into financial services and insurance clients to review early-stage Python implementations, improve modelling workflows and build bespoke additions to existing systems. This work often included advising client teams on better development practices and, where needed, running workshops to help them adopt more robust Python workflows.

Key Achievements